DocumentCode
327725
Title
Stable, robust and off-the-shelf methods for graphics recognition
Author
Tombre, Karl ; Ah-Soon, Christian ; Dosch, Philippe ; Habed, Adlane ; Masini, Gérald
Author_Institution
CNRS, Vandoeuvre-les-Nancy, France
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
406
Abstract
We claim that time has come in graphics recognition for choosing stable and robust methods, even (or especially) when this means implementing methods proposed by others, instead of inventing a new algorithm which ends up being a minor variation on an old idea. In this spirit, we present some of the choices we have made. We do not cover the whole range of methods and steps used in graphics recognition, but rather concentrate on those which we deem the most crucial and time consuming, in terms of development time, in the design of a graphics recognition system. They include: binarization, text-graphics segmentation, thin-thick separation, vectorisation and arc recognition, and tiling
Keywords
computer vision; image recognition; image segmentation; arc recognition; binarization; graphics recognition; text-graphics segmentation; thin-thick separation; tiling; vectorisation; Character recognition; Graphics; Image analysis; Image recognition; Merging; Performance evaluation; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711167
Filename
711167
Link To Document